Directly evolving classifiers for missing data using genetic programming
Published • Jul 1, 2016
NobleIDNI5P63W78R61S47
Authors:,,
Cao Truong Tran
Mengjie Zhang
Peter Andreae
Abstract
Missing values are a common issue in many industrial and real-world datasets. Coping with datasets containing missing values is an important requirement for classification because inadequate treatment of missing values may result in large errors on classification. Genetic programming (GP) has been s...
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